{"product_id":"parallel-approach-for-finding-co-location-patterns-von-sheshikala-martha","title":"Parallel Approach For Finding Co-Location Patterns","description":"\u003cp\u003eThe book discuss about the spatial co-location mining which finds the co-locations parallel which reduces the time complexity. Spatial co-location patterns represent a subset of features whose instances are frequently co-located in close proximity; For example Mountain area and new truck purchased are frequently co-located patterns, indicating that a person living close to mountainous areas is likely to buy a truck. Since the instances of spatial features are embedded in a continuous space and share a variety of spatial relationships the implementation of co-location mining can be taken as a challenge.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786202311038\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9786202311038","offer_id":39455368839261,"sku":"9786202311038","price":59.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/15bf457a-01f9-452a-908c-afafdc338586.jpg?v=1757744497","url":"https:\/\/shop.autorenwelt.de\/en\/products\/parallel-approach-for-finding-co-location-patterns-von-sheshikala-martha","provider":"Autorenwelt Shop","version":"1.0","type":"link"}